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Description
COEFICIENTE DE SEDIMENTACION. (S-100) PARA MINIMO 20 PRUEBAS. RTC.
IMSS product code
080.074.1134.11
Each circle represents one of the 20 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2012 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 6 | 60,261.9 MXN | 29.8 % | 12 | 2012 - 2014 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 5 | 1,697.6 MXN | 4.88 % | 0.824 | 2012 - 2018 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 4 | 4,439.5 MXN | 26.3 % | 1.79 | 2013 - 2016 |
| CUBILLAS PUNARO MARCO ANTONIO | 2 | 689.3 MXN | 6.34 % | 0.127 | 2012 - 2014 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 2 | 11,923.2 MXN | 144 % | 3.68 | 2013 - 2014 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 6,410.3 MXN | 60.7 % | 1.21 | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.074.1134.11")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.074.1134.11')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.074.1134.11')